AmazonSr. Technical Program Manager, MADS Reporting Engines
Amazon is hiring a Sr. Technical Program Manager, MADS Reporting Engines in Seattle, United States. It pays $149k-$201k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include technical program management, distributed systems and data pipelines.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Lead technical programs to evolve reporting infrastructure toward AI-powered measurement systems.
This role requires technical depth in distributed systems and data pipelines — you'll make independent trade-off calls in design reviews, identify risks engineers haven't surfaced, and drive multi-quarter initiatives that shape the future of advertising measurement at Amazon. You'll work at the intersection of established infrastructure AI capabilities, managing programs where changes ripple across every Ads product — Sponsored Ads, DSP, AMC, and beyond.
Key job responsibilities
- Drive end-to-end delivery of large, complex infrastructure programs spanning multiple engineering teams, data pipelines, and dependent services with clear milestones, risk management strategies, and escalation paths
- Partner with engineering teams to define technical requirements and validate architectures for data-intensive distributed systems, engaging meaningfully in design reviews to identify scaling bottlenecks, second-order risks, and technical trade-offs
- Program-manage the evolution of reporting infrastructure to support AI-powered measurement interfaces — natural language queries, automated insights, and intelligent planning — while maintaining data accuracy and system reliability
- Create and ship mechanisms, automation, and process improvements that increase engineering velocity, reduce operational toil, and make delivery predictable without becoming a bottleneck
- Lead cross-organizational dependency coordination and stakeholder alignment across MADS, Sponsored Ads, DSP, AMC, and platform teams to sequence deliverables and resolve competing priorities
A day in the life
Your mornings start with reviewing pipeline metrics and running milestone stand-ups with engineering leads to track deliverables and resolve blockers. Midday involves cross-team coordination — dependency negotiations with partner teams, design reviews where you identify architectural risks, and escalation resolution when priorities conflict. Afternoons focus on strategic work: roadmap planning, building delivery mechanisms that eliminate manual toil, and leadership reviews where you present trade-off options and launch readiness recommendations. On any given day, you manage 4-5 active programs simultaneously while shipping automation that makes next week easier than last week.
About the team
MADS Reporting Engines owns the infrastructure that processes, stores, and serves campaign reporting data to advertisers at Amazon Ads scale. When advertisers open their console and see performance metrics — impressions, clicks, conversions, ROAS — that data flows through our systems. We process petabyte-scale data pipelines, serve hundreds of metrics to thousands of advertisers daily, and power reporting for every major Ads surface.
We're focused on scaling infrastructure to support new ad products and metrics, evolving toward near-real-time reporting, and powering next-generation AI-driven measurement interfaces. Our culture values engineering excellence, accuracy (advertisers make million-dollar decisions based on our numbers), automation over manual work, and ownership of outcomes. You'll work with MADS engineering teams, leadership, upstream data providers, downstream API teams, and Ads partner organizations across the company.
Basic qualifications
- 5+ years of technical product or program management experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience building and evaluating system-level technical design
- Experience developing and executing/delivering product and technical roadmaps
Preferred qualifications
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually
How we rate this
Sr. Technical Program Manager, MADS Reporting Engines at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where technical program management was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Technical Program Management, Distributed Systems, Data Pipelines, and Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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